• Journal of the Ergonomics Society of Korea
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• v.26 no.1
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• pp.63-69
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• 2007

One of the most important aspects to succeed in character industry is to develop a character that it can sensibly satisfy customers. For this, sensibility evaluation has to be carried character design have to be analyzed, firstly. In this study, sensibility evaluation using multi-variate analysis was performed for some humanized characters. From the factor analysis, sensibility factors were extracted and sensibility characteristics for characters were analyzed by those factors. Preference for those characters was evaluated and was analyzed in relation to those sensibility characteristics. Finally, a direction of character design was proposed from those results.

• Journal of the Korean Magnetics Society
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• v.22 no.2
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• pp.33-36
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• 2012

We propose a simple prescription for resolving the general-$N$ problem existing in the old-fashioned mixed-radix fast Fourier transformation FORTRAN subroutine by Singleton in 1968. After a brief investigation on the problem, we discuss our prescription with the worst case analysis within the dynamical allocation. The analysis reveals that our implementation is superior, at least for multi-variate data set, than previously proposed data copying methods.

• IE interfaces
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• v.5 no.1
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• pp.25-34
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• 1992

A study to analyze and solve inherent problems of a pilot cola machine has been presented in this paper. The product considered in this study involves at least 16 variables(factors) which simultaneously affect the product performance. For this multi-variate statistical problem, we first carefully examined their relationships and selected four variables considered as the most important. We have taken Taguchi's parameter design approach, specifically the $L_8\:(2^7)$ orthogonal array, and determined the optimal levels of the selected variables through the analysis of the experimental results. Finally, we conclude this study with providing general comments drawn from the analysis and verification experiments.

• KIPS Transactions on Software and Data Engineering
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• v.11 no.2
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• pp.81-86
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• 2022

Given that time series are used in various fields, such as finance, IoT, and manufacturing, data analytical methods for accurate time-series forecasting can serve to increase operational efficiency. Among time-series analysis methods, multi-horizon forecasting provides a better understanding of data because it can extract meaningful statistics and other characteristics of the entire time-series. Furthermore, time-series data with exogenous information can be accurately predicted by using multi-horizon forecasting methods. However, traditional deep learning-based models for time-series do not account for the heterogeneity of inputs. We proposed an improved time-series predicting method, called the temporal fusion transformer method, which combines multi-horizon forecasting with interpretable insights into temporal dynamics. Various real-world data such as stock prices, fine dust concentrates and electricity consumption were considered in experiments. Experimental results showed that our temporal fusion transformer method has better time-series forecasting performance than existing models.

• Journal of Korean Academy of Nursing
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• v.36 no.5
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• pp.742-750
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• 2006

Purpose: This study was to identify which factors are likely to influence the effectiveness of smoking cessation on adults who smoke in Metropolitan Incheon. Method: Data from 9,083 smokers, who visited a smoking cessation clinic of a public health center from Jan. to Oct. 2005, were provided by the Korean Health Research Society, Among 9,083 smokers, 1,495 people were selected for follow up care at 6 months in order to analyze the differences between two groups one is a successful group and the other is a failure group. Results: The successful group included 639 people and the failure group 856 people. In the demographic profiles such as sex, age and motive registration, there was a significant difference between the two groups. In the view of smoking pattern and factors such as the expiratory CO level, the age of starting to smoke, the duration of smoking, alcohol, and dependence on alcohol use and nicotine, there were significant differences between the two groups. The smoking cessation method, results of uni variate analysis, the total number of visits to the smoking cessation clinics, and the use of nicotine gum or a patch(stage 1, stage 2) were significantly different in the two groups. Conclusion: The results of multi variate analysis have shown that the factors associated with the success for smoking cessation is the total number of visits to the smoking cessation clinic, and the dependence on alcohol.

• The Journal of Information Systems
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• v.24 no.4
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• pp.43-60
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• 2015

Purpose This study intended to introduce new approaches to identify the intellectual structure of supply chain management(SCM) researches, which combines author co-citation analysis(ACA) and social network analysis(SNA). Design/methodology/approach We searched RISS(www.riss.kr) and NDSL(www.ndsl.or.kr) database and collected 292 academic papers on supply chain management between 2001 and 2011. Among 9,637 references of these papers, we analyzed 1,848 references that were published by domestic authors. We produced a correlation matrix of 32 author co-citation matrix and conducted multi-variate statistical analysis such as factor analysis. We also performed social network analysis to identify the main researchers in SCM. Findings We found four main sub-areas of supply chain management research: SCM adoption factors, logistics, SCM performance, and SCM structure. We could present the authors who played important roles within the network by using SNA indicators. The finding of this research also suggests more collaborations among domestic researchers are required to overcome the low co-citation rates among domestic authors.

• Journal of Korean Library and Information Science Society
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• v.32 no.3
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• pp.169-197
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• 2001

This study investigated the intellectual structure of Korean library and information science and its change in the 1990s using author co-citation analysis. The citation data came from in 3 journals in the field of library and information science from 1990 through 1999, and 50 authors were selected and analyzed in detail by means of multi-variate statistical techniques such as multidimensional scaling, cluster analysis, factor analysis and crosstab analysis in order to excess the intellectual structure of discipline and its changing research patterns.

• Proceedings of the Korean Operations and Management Science Society Conference
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• 2000.10a
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• pp.251-254
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• 2000

In the knowledge-based economy, technological capability is critical for the survival and growth of firms. Technological capability differs across firms depending on the structural and environmental conditions. In nature, the evaluation of technological capability is an intractable task and thus previous studies often employ such proxy measures as patent, productivity, or profitability. In this research, we define technological capability as a combination of the above three measures and investigate, by using the multi-variate statistical analysis, the characteristics of technological capability of electronics/IT firms of Korea. We first propose a taxonomy in which firms are classified into four clusters based on the differences in the nature of technological capability. Then, across clusters, we comparatively analyze the relationship between technological capability and structural/environmental factors of firms. Finally, the implications of empirical findings will be discussed. This study is a small-scale, descriptive one but will be extended and elaborated by augmenting the database and/or incorporating more variables.

• Proceedings of the Korean Operations and Management Science Society Conference
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• 2000.10a
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• pp.310-313
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• 2000

This paper develops a model of customer satisfaction in the mobile telecommunication services. We examine the relationships among customers'overall satisfaction and underlying dimensions； perceived service quality, service value, and brand image. Variables related to customer satisfaction and dissatisfaction are derived from customer critical incidence survey. The model is estimated with multi-variate data analysis. Results indicate that the (1) technical service quality is the main driver of customer overall satisfaction, (2) some peripheral services are rapidly evolving into the core services of mobile telecommunications, and (3) the current policy of service providers does not focus on customer satisfaction but on establishing churning barrier by increasing switching costs.

• Proceedings of the KSR Conference
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• 2001.10a
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• pp.514-519
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• 2001

There are a close relationship between natural disasters and train safety. So it is very important to guaranty train safety using reasonable rail-transport operation control against disasters. Therefore, based on the past record of rainfall at failure, rail-transport operation control for railway embankment under rainfall was set up. After slope check list at home and abroad had been analyzed, new slope check list was suggested and site investigations were carried out using this check list. In order to evaluate the stability of railway slopes under rainfall, explanatory variables and subordinate variables were selected for multi-variate analysis and critical rainfall was defined by statistical process. Rail-transport operation control including regional and geological properties was suggested by analyzing the critical rainfall and rail-transport operation control in other country, and this will be a good tool to control train speed under rainfall and to secure train safety.